Complications of red cell exchange for anemia management in patients with transfusion‐dependent thalassemia
Bibliographic record
Abstract
BACKGROUND: In the Rare Blood Disorders clinic at the University of Alberta in Edmonton, red cell exchange (RCE) was utilized in transfusion-dependent thalassemia (TDT) patients with severe iron overload despite oral chelation and no access to iron infusion pumps for parenteral chelation. It was hypothesized that RCE would be less iron loading compared to simple transfusion. The purpose of this study is to document observations of the potential risks and benefits of RCE in TDT patients. STUDY DESIGN AND METHODS: TDT patients treated with RCE were identified and consented for enrolment according to local research ethics standards. Seven patients were enrolled in the study. Charts were retrospectively reviewed from the time of initiation of RCE to the time of the most recent RCE or clinic follow-up. Outcomes were documented and analyzed by descriptive analysis. RESULTS: The average age was 30 years. 85.7% were male. 100% were on oral chelation therapy and had hyperferritinemia at baseline. Outcomes included hepatic iron overload (5 of 7), cardiac dysfunction (3 of 7), worsening splenomegaly or extramedullary hematopoiesis (5 of 7), syncopal events during RCE (2 of 7), and new antibodies (1 of 7). Iron overload improved after escalated oral chelation, not in relation to RCE initiation. DISCUSSION: We hypothesize complications were higher than expected due to inadequate hematocrit increment and lack of suppression of ineffective erythropoiesis. With no observed benefit in iron status, and high complication rates, we did not find evidence to recommend RCE in patients with TDT. This case series is a hypothesis-generating study on transfusion techniques in TDT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".